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Record W6940797169 · doi:10.1139/cjps-2014-317

Emergence and seed production of woolly cupgrass (Eriochloa villosa) in legume forage crops

2015· article· en· W6940797169 on OpenAlexaboutno aff

Bibliographic record

VenueBioOne Complete (BioOne) · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMycorrhizal Fungi and Plant Interactions
Canadian institutionsnot available
Fundersnot available
KeywordsPerennial plantForageLegumePopulationWeedFodder

Abstract

fetched live from OpenAlex

Simard, M.-J., Nurse, R. E. and Darbyshire, S. J. 2015. Emergence and seed production of woolly cupgrass (Eriochloa villosa) in legume forage crops. Can. J. Plant Sci. 95: 539-548. Woolly cupgrass is an annual grass of East Asian origin now present in North America, particularly in the US corn belt. The species was found in Canada in 2000 (southern Quebec). New, mostly small, populations have been discovered every year since 2007 and the species became a nationally regulated and quarantined weed in 2011. In order to evaluate the potential use of perennial legumes to reduce established populations, the emergence pattern, density, biomass and seed production of a woolly cupgrass population were evaluated in plots either kept unmanaged (control), in chemical fallow (treated with sequential applications of glyphosate) or cropped with alfalfa or clover from 2009 to 2011. Every year, woolly cupgrass seedlings started to emerge early (Apr. 29 to May 05) and continued to emerge over a 26- to 85-d period. All unmanaged weekly cohorts produced seed. Woolly cupgrass in unmanaged control plots produced about 10 000 seeds m-2 in 2010 and 2011. In the chemical fallow, emergence counts decreased by about 2/3 each year. No woolly cupgrass seeds were collected during forage harvests except during a single late cut. However, despite the control of the initial spring cohort (using herbicide) and a standard cutting regime, seedbank inputs from woolly cupgrass increased every year in the forage plots. Therefore, the inclusion of perennial legumes into a rotation is unlikely to reduce the local abundance of woolly cupgrass.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.844
Threshold uncertainty score0.644

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.231
GPT teacher head0.234
Teacher spread0.004 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

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